Science Explorer Back to mapMap
Discussion
Researcher · Université Rennes 2 · France

Thomas Gaillat

Thomas Gaillat publishes mostly in Artificial Intelligence, Developmental and Educational Psychology and Language and Linguistics, on topics such as Natural Language Processing Techniques, Second Language Acquisition and Learning and Text Readability and Simplification.

ORCID 0000-0003-3433-6533 OpenAlex
World rank
#6,746,414
of 7,710,434 ranked researchers
Rank in France
#288,785
of 324,115
Works
117
Citations
123
Citations per work
1.1
h-index
5
i10-index 5Top 82% in Artificial Intelligence
Thomas Gaillat

What does Thomas Gaillat research?

Thomas Gaillat's work is mostly in Computer Science (44%), Arts and Humanities (20%), Psychology (16%).

Physical Sciences: 51 works · 43.5% of their workComputer Science: 51 works · 43.5% of their workArtificial Intelligence: 51 works · 43.5% of their workSocial Sciences: 50 works · 43.0% of their workArts and Humanities: 23 works · 19.9% of their workLanguage and Linguistics: 14 works · 11.8% of their workLiterature and Literary Theory: 5 works · 4.3% of their workPhilosophy: 4 works · 3.8% of their workPsychology: 18 works · 15.6% of their workDevelopmental and Educational Psychology: 18 works · 15.6% of their workSocial Sciences: 9 works · 7.5% of their workLinguistics and Language: 9 works · 7.5% of their workEverything else: 16 works · 13.5% of their workTHEIR WORKThomas Gaillat117works
Physical Sciences44%Social Sciences43%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science5143.5%
    1. Arts and Humanities2319.9%
    2. Psychology1815.6%
    3. Social Sciences97.5%
  3. Everything else1613.5%
  1. 1Artificial Intelligence44% of their works
  2. 2Developmental and Educational Psychology16% of their works
  3. 3Language and Linguistics12% of their works
  4. 4Linguistics and Language8% of their works
  5. 5Literature and Literary Theory4% of their works
  6. 6Philosophy4% of their works

Research topics

Which keywords describe Thomas Gaillat's research?

The keywords of their largest research topics: Corpus Linguistics, Neural Machine Translation, Statistical Machine Translation, Language Teaching, Neural Networks, Second Language Learning, Vocabulary Acquisition and Readability Assessment.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. Corpus Linguistics682 topics
  2. Neural Machine Translation391 topic
  3. Statistical Machine Translation391 topic
  4. Language Teaching352 topics
  5. Neural Networks302 topics
  6. Second Language Learning291 topic
  7. Vocabulary Acquisition291 topic
  8. Readability Assessment221 topic
  9. Text Simplification221 topic
  10. Multilingualism182 topics
  11. Intercultural Communication111 topic
  12. Language Education111 topic
  13. Machine Translation81 topic
  14. Word Representation81 topic
  15. Argumentation71 topic
  16. CLIL71 topic
  17. Content and Language Integrated Learning71 topic
  18. Discourse Analysis71 topic
  19. Corrective Feedback61 topic
  20. Second Language Acquisition61 topic

Where does Thomas Gaillat work?

Thomas Gaillat's main affiliation in the publication record is Université Rennes 2, France.

How many publications and citations does Thomas Gaillat have?

OpenAlex counts 117 works and 123 citations for Thomas Gaillat, an h-index of 5, ranking #6,746,414 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Thomas Gaillat. Posts are plain text and can be reported.